The Ziora 4-Layer Stack
Each layer builds on the last to deliver a seamless workflow—from documentation capture to augmentation.
- Layer 1 · EHR Assisted
Clinical-grade security controls, scheduling, client portal, and encrypted data storage anchor the platform.
- Layer 2 · Auto Note-Taking
Live capture and transcription flip into supervision-grade SOAP/DAP drafts with timestamp context.
- Layer 3 · Insights & Tracking
Goal progress, adherence, and risk signals roll into next-session briefs tailored to the clinician.
- Layer 4 · Therapist Augmentation
Guided prompts, supervisor tooling, and AI assistance raise note quality while reducing admin time.
Safety & Compliance
Companionship attention signals are baked into the core. When the system identifies language that warrants attention, therapists get notified so they can follow up—no generic chatbot responses, no signals left unnoticed.
Field-level encryption and an audit log of every request underpin every workflow, so the platform is designed to support clinical compliance from day one.
Companionship Attention Signals
With cases like Adam Raine's in mind, Ziora Companionship (coming soon) will aim to flag concerning language, patterns, and crisis indicators to keep the licensed provider informed—supporting, not replacing, their clinical judgment.
Mental Tune™ Clinical AI Engine
Mental Tune™ is Ziora's clinical AI engine: our own layer of evidence-based protocols, patient clinical context, and human-in-the-loop review, built on state-of-the-art language models from Google. The AI drafts; the therapist always reviews and approves.
- Adapts to modalities like CBT, DBT, EMDR, and more—grounded in documented interventions.
- Generates supervision-grade summaries while preserving the therapist's voice.
- Feeds into Ziora Copilot to prioritize caseloads, highlight risk, and prep the next session.
